• DocumentCode
    3289779
  • Title

    Stance control model in consideration of feed-forward control by reticulospinal tract

  • Author

    Ping Jiang ; Zhifeng Huang ; Yanjiang Huang ; Chiba, Ryosuke ; Takakusaki, Keiji ; Ota, Jun

  • Author_Institution
    Dept. of Precision Eng., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2013
  • fDate
    12-14 Dec. 2013
  • Firstpage
    346
  • Lastpage
    351
  • Abstract
    This paper aims to investigate the function of constant feed-forward control from the reticulospinal tract (RST) on improving posture stability during standing from the viewpoint of ability to countering the disturbances. We presented a stance control model considering not only the balance control, a PD controller, from vestibular tract based on vestibular feedback but also the constant feed-forward control ur by reticulospinal tract. Parameters of PD controller, max muscle isometric force of back extensors and flexors and the constant strength of control from RST were optimized during a 3s forward dynamics simulation and the optimal ur was obtained. Then, we fixed the value of ur around the value of optimal one and only optimized other four parameters. After that, the abilities of countering the platform disturbance of the musculoskeletal (MSK) model under the control of different ur were investigated. As a result, we found that optimal ur would improve the posture stability and make MSK model more adaptive to the disturbance.
  • Keywords
    PD control; feedback; feedforward; medical control systems; stability; MSK; PD controller; RST; back extensors; balance control; constant feed-forward control; flexors; forward dynamics simulation; max muscle isometric force; musculoskeletal model; posture stability; reticulospinal tract; stance control model; vestibular feedback; vestibular tract; Biological system modeling; Force; Joints; Muscles; PD control; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ROBIO.2013.6739483
  • Filename
    6739483